A semiparametric derivative estimator in log transformation models
AbstractThis paper considers a regression model with a log-transformed dependent variable. The log transformed model is estimated by simple least squares, but computing the conditional mean of the dependent variable on the original scale given the explanatory variables requires knowing the conditional distribution of the error term in the transformed model. We show how to obtain a consistent estimator for the conditional mean and its derivatives without specifying the conditional distribution of the error term. The asymptotic distribution of the estimator is derived. The proposed procedure is then illustrated via a simulation study. Copyright The Author(s). Journal compilation Royal Economic Society 2008
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Bibliographic InfoArticle provided by Royal Economic Society in its journal Econometrics Journal.
Volume (Year): 11 (2008)
Issue (Month): 3 (November)
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Other versions of this item:
- Chunrong Ai & Edward Norton, 2006. "A Semiparametric Derivative Estimator in Log Transformation Models," Health, Econometrics and Data Group (HEDG) Working Papers 06/06, HEDG, c/o Department of Economics, University of York.
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